Pages that link to "Item:Q3827399"
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The following pages link to Optimal Rates of Convergence for Deconvolving a Density (Q3827399):
Displaying 50 items.
- Estimating a concave distribution function from data corrupted with additive noise (Q1020980) (← links)
- A note on deconvolution density estimation (Q1126133) (← links)
- Theoretical aspects of ill-posed problems in statistics (Q1181248) (← links)
- Renormalization exponents and optimal pointwise rates of convergence (Q1193360) (← links)
- Multivariate regression estimation with errors-in-variables: Asymptotic normality for mixing processes (Q1206452) (← links)
- Rates of convergence of some estimators in a class of deconvolution problems (Q1262649) (← links)
- Simple kernel estimators for certain nonparametric deconvolution problems (Q1265954) (← links)
- Kernel and pseudokernel estimators for the a priori density of a multivariate parameter (Q1269938) (← links)
- Spherical deconvolution (Q1272741) (← links)
- On nonparametric estimation of intercept and slope distributions in random coefficient regression (Q1354468) (← links)
- Nonparametric regression with errors in variables and applications (Q1359762) (← links)
- Finite sample performance of deconvolving density estimators (Q1379905) (← links)
- Fitting a line segment to noisy data (Q1417803) (← links)
- Compound decision theory and empirical Bayes methods (Q1429309) (← links)
- Inference in components of variance models with low replication (Q1429311) (← links)
- Adaptive wavelet estimator for nonparametric density deconvolution (Q1583899) (← links)
- Deconvolving multidimensional density from partially contaminated observations (Q1600747) (← links)
- A unified treatment of direct and indirect estimation of a probability density and its derivatives (Q1612997) (← links)
- Density deconvolution based on wavelets with bounded supports (Q1612999) (← links)
- Moment adjusted imputation for multivariate measurement error data with applications to logistic regression (Q1615079) (← links)
- Entropic optimal transport is maximum-likelihood deconvolution (Q1632830) (← links)
- A deconvolution path for mixtures (Q1639196) (← links)
- Adaptive sup-norm estimation of the Wigner function in noisy quantum homodyne tomography (Q1650080) (← links)
- Self-consistent density estimation in the presence of errors-in-variables (Q1725384) (← links)
- Estimating the endpoint of a distribution in the presence of additive observation errors (Q1770062) (← links)
- Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model (Q1781190) (← links)
- Uniform confidence bands in deconvolution with unknown error distribution (Q1792484) (← links)
- Goodness-of-fit testing of error distribution in linear measurement error models (Q1800808) (← links)
- Log-density estimation in linear inverse problems (Q1807071) (← links)
- Asymptotic behaviour of the predictive density in the exchangeable case (Q1817376) (← links)
- Empirical geometry of multivariate data: a deconvolution approach. (Q1848790) (← links)
- Semi-parametric estimation in the nonlinear structural errors-in-variables model (Q1848855) (← links)
- Empirical Bayes two-action problem for the continuous one-parameter exponential family with errors in variables (Q1873084) (← links)
- Bootstrap bandwidth selection in kernel density estimation from a contaminated sample (Q1881003) (← links)
- A review of semiparametric mixture models (Q1901751) (← links)
- Deconvolving a density from contaminated dependent observations (Q1915249) (← links)
- A note on density estimation for Poisson mixtures (Q1916201) (← links)
- Laplace deconvolution with noisy observations (Q1951149) (← links)
- Nonparametric deconvolution problem for dependent sequences (Q1951771) (← links)
- Density deconvolution in a two-level heteroscedastic model with unknown error density (Q1952041) (← links)
- Deconvolution for the Wasserstein metric and geometric inference (Q1952230) (← links)
- Convergence of latent mixing measures in finite and infinite mixture models (Q1952455) (← links)
- On local uniformity for estimators and confidence limits (Q1972158) (← links)
- Invariance principles for deconvolving kernel density estimation for stationary sequences of random variables (Q1973314) (← links)
- Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems (Q1974073) (← links)
- Robust nonparametric function estimation for errors-in-variables models (Q1987580) (← links)
- Data-driven deconvolution recursive kernel density estimators defined by stochastic approximation method (Q2023841) (← links)
- Density deconvolution under general assumptions on the distribution of measurement errors (Q2039776) (← links)
- Density deconvolution with non-standard error distributions: rates of convergence and adaptive estimation (Q2044419) (← links)
- Density deconvolution under a \(k\)-monotonicity constraint (Q2084332) (← links)
